# tracel-ai/burn

> A Rust tensor library and deep learning framework where training and inference share one codebase, with JIT compilation and autodiff. Runs on CUDA, ROCm, Metal, Vulkan, WebGPU and CPU.

- Magnitude: 1.4 out of 10 — Steady
- Stars: 16,043 total · +1 star measured 2026-10-08, 10:59–11:55 UTC, ≈ 4 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Rust · License: Apache-2.0 · Created: 2022-07-18 · Last push: 2026-10-07
- GitHub: https://github.com/tracel-ai/burn · Homepage: https://burn.dev · Page: https://gitnova.dev/en/r/tracel-ai/burn

## Useful for

- Train a model in Rust and deploy it with the same code, without ONNX export
- Run inference on WebGPU or Vulkan across different user devices
- Import PyTorch or Safetensors weights via burn-store

## Why it’s here

- Star-counter measurements on 2026-10-08 (UTC), 10:59–11:55: 16042 → 16043 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day.
- GitHub Trending Rust today: #9, +12 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 1,079
- Issues and pull requests: 5,771
- Watchers: 101
- Average over the last week: 6 per day
- Usual pace: 6 per day
- Stars in the last hour (measured): 1
- Latest release: v0.22.0 (2026-10-06)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-09 … 2026-10-08: 4, 9, 3, 6, 6, 4, 8, 9, 9, 9, 5, 5, 5, 9, 10, 2, 9, 5, 3, 7, 8, 3, 7, 5, 5, 4, 5, 7, 10, 1

## Spotted in now

- GitHub Trending Rust today: #9, +12 stars

## Similar by description

1. **pytorch/pytorch** — 3.0 · Steady · Language models · Python · +31 stars measured 2026-10-08, 00:04–11:48 UTC, ≈ 61 by evening
   PyTorch is a library for tensor computation with strong GPU acceleration and dynamic neural networks built on tape-based autograd. It is used as a GPU-ready NumPy replacement and as a deep learning research platform.
   Full card: https://gitnova.dev/en/r/pytorch/pytorch.md
2. **tensorflow/tensorflow** — 2.1 · Steady · Language models · C++ · +13 stars measured 2026-10-08, 00:05–11:51 UTC, ≈ 24 by evening
   An open source machine learning platform from Google Brain with Python and C++ APIs for training and deploying neural networks. Used by researchers and developers of ML applications.
   Full card: https://gitnova.dev/en/r/tensorflow/tensorflow.md
3. **microsoft/onnxruntime** — 1.5 · Steady · Language models · C++ · +4 stars measured 2026-10-08, 00:09–11:54 UTC, ≈ 8 by evening
   Cross-platform accelerator for ML inference and training. Runs models from PyTorch, TensorFlow, scikit-learn and others via the ONNX format with graph optimizations and hardware acceleration.
   Full card: https://gitnova.dev/en/r/microsoft/onnxruntime.md
4. **ymcrcat/rgpu** — 1.4 · Steady · Language models · C++ · +0 stars measured 2026-10-08, 00:12–11:55 UTC, ≈ 1 by evening
   Runs PyTorch operations and holds tensors on a remote NVIDIA GPU while the application stays on the client, including on a Mac without CUDA. Offers two paths: an rgpu device for PyTorch and a CUDA shim for existing Linux programs.
   Full card: https://gitnova.dev/en/r/ymcrcat/rgpu.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-08 12:00 UTC, updated every 30 minutes.